From social media to the Internet of Things, digital fabrication to robotics, virtual reality to synthetic biology, new technologies are racing forward across the board. Together they are ripping up the rule book for people, firms, and governments alike. Mastering this so-called Fourth Industrial Revolution is the theme of the World Economic Forum’s 2016 Annual Meeting, for which this special collection serves as background reading. Klaus Schwab kicks things off with an overview of the topic, followed by sections on the technological trends driving the revolution; those trends’ economic, social, and political impacts; and the resulting challenges for policy. Drawn from the pages of Foreign Affairs and the pixels of ForeignAffairs.com, the articles feature world-class experts explaining crucial issues clearly, directly, and authoritatively. We hope you enjoy the collection and come back for more.
... Regulations Corporate Espionage Goemono Govement Driven § nomation song | Coordinated on Fisk Markets # - Embedded Security § Reputation o Source: World Economic Forum When focusing on systems which relate to data, rather than.
... Susanne Grassmeier, Mehran Gul, Michael Hanley, William Hoffman, Kiriko Honda, Ravi Kaneriya, Mihoko Kashiwakura, ... Jenny Soffel, Mark Spelman, Tanah Sullivan, Christoph von Toggenburg, Terri Toyota, Peter Vanham, Jean-Luc Vez, ...
(2010). Strong Performers and Successful Reformers in Education: Lessons from PISA for the United States (Rep.). Retrieved November 1, 2017, from OECD website: www.oecd.org/pisa/pisaproducts/46580959.pdf 16 Fullan, M. (2012, May 4).
This book is open access under a CC BY 4.0 license. This collection examines how higher education responds to the demands of the automation economy and the fourth industrial revolution.
This book helps decision makers grasp the importance, and applicability to business, of the new technologies and extended connectivity of systems that underlie what is becoming known as the Fourth Industrial Revolution: technologies and ...
Baltimore: Johns Hopkins University Press. Granger, Clive W. J. 1969. “Investigating Causal Relations by Econometric Models and Cross-Spectral Methods.” Econometrica 37(3): 424–438. Hansen, Gary D., and Edward C. Prescott. 2002.
Bryman and Bell (2011: 545) maintain that documents can be analysed according to their authenticity by asking questions such as: authenticity (is the evidence genuine?); credibility (is the evidence free from error and distortion?);
This book contains advanced models, innovative practices, and state-of-the-art research findings on systems engineering.
The latter, in its ontology, applies different 4IR technologies including big data analytics, machine learning, cloud computing, and artificial intelligence, amongst others. The momentum and maturation of metabolomics is undeniably ...
... J. 88 MacAskill, E. 120 MacCarthy, M. 91 MacDonald, F. 171 machine learning 26–8, 58, 140–1 Mackinder, H. J. 49, ... 163, 210, 224 Lavrov, S. 124 Lavrov, Sergey 124 Lawton, T. 72 Marx, C. 16, 134, 144, 153, 185 Mason, P. 135 250 Index.